[Application of time-frequency analysis on medical signal processing].
Xinyu Chai, Wu Z, T Zhuang
Abstract
Xinyu Chai, Wu Z, T Zhuang
Abstract
The frequency content of many biomedical signals can change rapidly with time. Conventional Fourier spectral analysis techniques are insufficient for analyzing the time-varying spectral content of these signals. By mapping a one-dimensional function of time(or frequency), the time-frequency representation can localize the signal energy in both the time and frequency directions. It has been shown that many biomedical signal problems may benefit from time-frequency analysis. The basic method of time-frequency analysis and its application in biomedical signals processing are introduced.
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The frequency content of many biomedical signals can change rapidly with time. Conventional Fourier spectral analysis techniques are insufficient for analyzing the time-varying spectral content of these signals. By mapping a one-dimensional function of time(or frequency), the time-frequency representation can localize the signal energy in both the time and frequency directions. It has been shown that many biomedical signal problems may benefit from time-frequency analysis. The basic method of time-frequency analysis and its application in biomedical signals processing are introduced.
Key concepts: Time–frequency analysis, Signal processing, Computer science, Time–frequency representation, SIGNAL (programming language), Frequency analysis, Fourier analysis, Fourier transform